GAIA-SMAA-PROMETHEE for a hierarchy of interacting criteria

SMAA-GAIA: A Complementary Tool of the SMAA-PROMETHEE Method CoDE-SMG – Technical Report Series

The SMAA-PROMETHEE method

PROMETHEEmethods are widely used in Multiple Criteria Decision Aiding (MCDA) to deal with real world decision making problems. In this paper, we propose to apply the Stochastic Multicriteria Acceptability Analysis (SMAA) to the family of PROMETHEEmethods in order to explore the whole set of parameters compatible with some preference information provided by the Decision Maker (DM). The applicati...

Multiple Criteria Hierarchy Process with ELECTRE and PROMETHEE

Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by considering all sets of parameters of an assumed preference model, that are compatible with preference information elicited set of parameters, respectively. In this paper, we propose an extension of ELECTRE and PROMETHEE methods to the case of the hierarchy of criteria, which was never considered before. Then, we ada...

Performance Evaluation of Indian Technical Institutions Using PROMETHEE-GAIA Approach

It has now become an important issue to evaluate the performance of technical institutions to develop better research and enrich the existing teaching processes. The results of such performance appraisal would serve as a reference point for decisions to choose a particular institution, hire manpower, and provide financial support for the betterment of students and underperforming institutions. ...

Selecting the best statistical distribution with PROMETHEE and GAIA

Three methods have previously been presented in Computer and Industrial Engineering for the selection of a statistical distribution to describe a data-set: the weighted sum model, the weighted multiplication model and data envelopment analysis. These are based on distinctive preset of parameters and result in three different rankings. In these approaches there is no interaction with the decisio...